Finding a moving fugitive. A game theoretic representation of search
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Authors
Owen, Guillermo
McCormick, Gordon H.
Advisors
Second Readers
Subjects
Search games
Markov process
Frobenius eigenvector
Markov process
Frobenius eigenvector
Date of Issue
2008
Date
Publisher
Elsevier
Language
Abstract
We develop and analyze a “manhunting” game involving a mobile hider, who wishes to maximize his time to capture, and a mobile searcher, who wishes to minimize this same time. The game takes place within a variegated environment that offers better and worse locations to evade capture. The hider is able to move from one hide site to another at will. In choosing a hide site, he must consider the risk of discovery, the risk that he will be betrayed, and the risk that he will be captured while moving from one site to another. The searcher can select any cell to search within the fugitive’s feasible hiding set. We examine the strategic behavior of both players and provide examples.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1016/j.cor.2006.09.020
Series/Report No
Department
Applied Mathematics
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
20 p.
Citation
Owen, G. & McCormick, G.H. 2008, "Finding a moving fugitive. A game theoretic representation of search", Computers & Operations Research, vol. 35, no. 6, pp. 1944-1962.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
